Diabetic Data EDA Profile Report Nov 1st

Dataset statistics

Number of variables	27
Number of observations	99343
Missing cells	178495
Missing cells (%)	6.7%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	12.3 MiB
Average record size in memory	130.0 B

Variable types

Categorical	19
Numeric	8

Alerts

`diag_1` has a high cardinality: 715 distinct values	High cardinality
`diag_2` has a high cardinality: 747 distinct values	High cardinality
`diag_3` has a high cardinality: 786 distinct values	High cardinality
`admission_type_id` is highly overall correlated with `Admission_Source`	High correlation
`max_glu_serum` is highly overall correlated with `Thiazolidinediones` and 2 other fields	High correlation
`A1Cresult` is highly overall correlated with `Sulfonylureas`	High correlation
`change` is highly overall correlated with `diabetesMed` and 1 other fields	High correlation
`diabetesMed` is highly overall correlated with `change` and 1 other fields	High correlation
`Thiazolidinediones` is highly overall correlated with `max_glu_serum` and 1 other fields	High correlation
`Sulfonylureas` is highly overall correlated with `max_glu_serum` and 1 other fields	High correlation
`Metformin` is highly overall correlated with `max_glu_serum` and 1 other fields	High correlation
`Insulin` is highly overall correlated with `change` and 1 other fields	High correlation
`Admission_Source` is highly overall correlated with `admission_type_id`	High correlation
`discharge_disposition_id` is highly imbalanced (55.0%)	Imbalance
`Meglitinides` is highly imbalanced (89.8%)	Imbalance
`Thiazolidinediones` is highly imbalanced (> 99.9%)	Imbalance
`Sulfonylureas` is highly imbalanced (> 99.9%)	Imbalance
`AG_Inhibitors` is highly imbalanced (94.8%)	Imbalance
`Metformin` is highly imbalanced (> 99.9%)	Imbalance
`diag_3` has 1419 (1.4%) missing values	Missing
`max_glu_serum` has 94191 (94.8%) missing values	Missing
`A1Cresult` has 82509 (83.1%) missing values	Missing
`number_emergency` is highly skewed (γ1 = 22.84877954)	Skewed
`num_procedures` has 45679 (46.0%) zeros	Zeros
`number_outpatient` has 82994 (83.5%) zeros	Zeros
`number_emergency` has 88249 (88.8%) zeros	Zeros
`number_inpatient` has 66245 (66.7%) zeros	Zeros

Reproduction

Analysis started	2023-11-05 16:13:26.461469
Analysis finished	2023-11-05 16:13:45.986448
Duration	19.52 seconds
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

gender
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.9 MiB

Female	53454
Male	45886
Missing	3

Length

Max length	7
Median length	6
Mean length	5.0762409
Min length	4

Characters and Unicode

Total characters	504289
Distinct characters	10
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Female
2nd row	Female
3rd row	Female
4th row	Male
5th row	Male

Common Values

Value	Count	Frequency (%)
Female	53454	53.8%
Male	45886	46.2%
Missing	3	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
female	53454	53.8%
male	45886	46.2%
missing	3	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
e	152794	30.3%
a	99340	19.7%
l	99340	19.7%
F	53454	10.6%
m	53454	10.6%
M	45889	9.1%
i	6	< 0.1%
s	6	< 0.1%
n	3	< 0.1%
g	3	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	404946	80.3%
Uppercase Letter	99343	19.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	152794	37.7%
a	99340	24.5%
l	99340	24.5%
m	53454	13.2%
i	6	< 0.1%
s	6	< 0.1%
n	3	< 0.1%
g	3	< 0.1%

Uppercase Letter

Value	Count	Frequency (%)
F	53454	53.8%
M	45889	46.2%

Most occurring scripts

Value	Count	Frequency (%)
Latin	504289	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	152794	30.3%
a	99340	19.7%
l	99340	19.7%
F	53454	10.6%
m	53454	10.6%
M	45889	9.1%
i	6	< 0.1%
s	6	< 0.1%
n	3	< 0.1%
g	3	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	504289	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	152794	30.3%
a	99340	19.7%
l	99340	19.7%
F	53454	10.6%
m	53454	10.6%
M	45889	9.1%
i	6	< 0.1%
s	6	< 0.1%
n	3	< 0.1%
g	3	< 0.1%

age
Categorical

Distinct	10
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.9 MiB

[70-80)	25331
[60-70)	22059
[50-60)	17060
[80-90)	16434
[40-50)	9607
Other values (5)	8852

Length

Max length	8
Median length	7
Mean length	7.0244506
Min length	6

Characters and Unicode

Total characters	697830
Distinct characters	13
Distinct categories	4 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	[0-10)
2nd row	[10-20)
3rd row	[20-30)
4th row	[30-40)
5th row	[40-50)

Common Values

Value	Count	Frequency (%)
[70-80)	25331	25.5%
[60-70)	22059	22.2%
[50-60)	17060	17.2%
[80-90)	16434	16.5%
[40-50)	9607	9.7%
[30-40)	3764	3.8%
[90-100)	2589	2.6%
[20-30)	1649	1.7%
[10-20)	690	0.7%
[0-10)	160	0.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
70-80	25331	25.5%
60-70	22059	22.2%
50-60	17060	17.2%
80-90	16434	16.5%
40-50	9607	9.7%
30-40	3764	3.8%
90-100	2589	2.6%
20-30	1649	1.7%
10-20	690	0.7%
0-10	160	0.2%

Most occurring characters

Value	Count	Frequency (%)
0	201275	28.8%
[	99343	14.2%
-	99343	14.2%
)	99343	14.2%
7	47390	6.8%
8	41765	6.0%
6	39119	5.6%
5	26667	3.8%
9	19023	2.7%
4	13371	1.9%
Other values (3)	11191	1.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	399801	57.3%
Open Punctuation	99343	14.2%
Dash Punctuation	99343	14.2%
Close Punctuation	99343	14.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	201275	50.3%
7	47390	11.9%
8	41765	10.4%
6	39119	9.8%
5	26667	6.7%
9	19023	4.8%
4	13371	3.3%
3	5413	1.4%
1	3439	0.9%
2	2339	0.6%

Open Punctuation

Value	Count	Frequency (%)
[	99343	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	99343	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	99343	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	697830	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	201275	28.8%
[	99343	14.2%
-	99343	14.2%
)	99343	14.2%
7	47390	6.8%
8	41765	6.0%
6	39119	5.6%
5	26667	3.8%
9	19023	2.7%
4	13371	1.9%
Other values (3)	11191	1.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	697830	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	201275	28.8%
[	99343	14.2%
-	99343	14.2%
)	99343	14.2%
7	47390	6.8%
8	41765	6.0%
6	39119	5.6%
5	26667	3.8%
9	19023	2.7%
4	13371	1.9%
Other values (3)	11191	1.6%

admission_type_id
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.9 MiB

Emergency	52371
Elective	18668
Urgent	18132
Missing	10154
Trauma Centre	18

Length

Max length	13
Median length	9
Mean length	8.0608297
Min length	6

Characters and Unicode

Total characters	800787
Distinct characters	20
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Missing
2nd row	Emergency
3rd row	Emergency
4th row	Emergency
5th row	Emergency

Common Values

Value	Count	Frequency (%)
Emergency	52371	52.7%
Elective	18668	18.8%
Urgent	18132	18.3%
Missing	10154	10.2%
Trauma Centre	18	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
emergency	52371	52.7%
elective	18668	18.8%
urgent	18132	18.2%
missing	10154	10.2%
trauma	18	< 0.1%
centre	18	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
e	160246	20.0%
n	80675	10.1%
g	80657	10.1%
E	71039	8.9%
c	71039	8.9%
r	70539	8.8%
m	52389	6.5%
y	52371	6.5%
i	38976	4.9%
t	36818	4.6%
Other values (10)	86038	10.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	701408	87.6%
Uppercase Letter	99361	12.4%
Space Separator	18	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	160246	22.8%
n	80675	11.5%
g	80657	11.5%
c	71039	10.1%
r	70539	10.1%
m	52389	7.5%
y	52371	7.5%
i	38976	5.6%
t	36818	5.2%
s	20308	2.9%
Other values (4)	37390	5.3%

Uppercase Letter

Value	Count	Frequency (%)
E	71039	71.5%
U	18132	18.2%
M	10154	10.2%
T	18	< 0.1%
C	18	< 0.1%

Space Separator

Value	Count	Frequency (%)
	18	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	800769	> 99.9%
Common	18	< 0.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	160246	20.0%
n	80675	10.1%
g	80657	10.1%
E	71039	8.9%
c	71039	8.9%
r	70539	8.8%
m	52389	6.5%
y	52371	6.5%
i	38976	4.9%
t	36818	4.6%
Other values (9)	86020	10.7%

Common

Value	Count	Frequency (%)
	18	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	800787	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	160246	20.0%
n	80675	10.1%
g	80657	10.1%
E	71039	8.9%
c	71039	8.9%
r	70539	8.8%
m	52389	6.5%
y	52371	6.5%
i	38976	4.9%
t	36818	4.6%
Other values (10)	86038	10.7%

discharge_disposition_id
Categorical

IMBALANCE

Distinct	19
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.9 MiB

1	60234
3	13954
6	12902
999	4686
2	2128
Other values (14)	5439

Length

Max length	3
Median length	1
Mean length	1.1213976
Min length	1

Characters and Unicode

Total characters	111403
Distinct characters	9
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	999
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	60234	60.6%
3	13954	14.0%
6	12902	13.0%
999	4686	4.7%
2	2128	2.1%
22	1993	2.0%
5	1184	1.2%
4	815	0.8%
7	623	0.6%
23	412	0.4%
Other values (9)	412	0.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
1	60234	60.6%
3	13954	14.0%
6	12902	13.0%
999	4686	4.7%
2	2128	2.1%
22	1993	2.0%
5	1184	1.2%
4	815	0.8%
7	623	0.6%
23	412	0.4%
Other values (9)	412	0.4%

Most occurring characters

Value	Count	Frequency (%)
1	60325	54.2%
3	14366	12.9%
9	14079	12.6%
6	12913	11.6%
2	6721	6.0%
5	1247	1.1%
4	863	0.8%
7	642	0.6%
8	247	0.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	111403	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	60325	54.2%
3	14366	12.9%
9	14079	12.6%
6	12913	11.6%
2	6721	6.0%
5	1247	1.1%
4	863	0.8%
7	642	0.6%
8	247	0.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	111403	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	60325	54.2%
3	14366	12.9%
9	14079	12.6%
6	12913	11.6%
2	6721	6.0%
5	1247	1.1%
4	863	0.8%
7	642	0.6%
8	247	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	111403	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	60325	54.2%
3	14366	12.9%
9	14079	12.6%
6	12913	11.6%
2	6721	6.0%
5	1247	1.1%
4	863	0.8%
7	642	0.6%
8	247	0.2%

time_in_hospital
Real number (ℝ)

Distinct	14
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.3793322

Minimum	1
Maximum	14
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.5 MiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	4
Q3	6
95-th percentile	11
Maximum	14
Range	13
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	2.968409
Coefficient of variation (CV)	0.67782229
Kurtosis	0.88755278
Mean	4.3793322
Median Absolute Deviation (MAD)	2
Skewness	1.1418204
Sum	435056
Variance	8.8114518
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=14)

Value	Count	Frequency (%)
3	17432	17.5%
2	16891	17.0%
1	13824	13.9%
4	13684	13.8%
5	9749	9.8%
6	7355	7.4%
7	5696	5.7%
8	4271	4.3%
9	2879	2.9%
10	2262	2.3%
Other values (4)	5300	5.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	13824	13.9%
2	16891	17.0%
3	17432	17.5%
4	13684	13.8%
5	9749	9.8%
6	7355	7.4%
7	5696	5.7%
8	4271	4.3%
9	2879	2.9%
10	2262	2.3%

Value	Count	Frequency (%)
14	995	1.0%
13	1152	1.2%
12	1383	1.4%
11	1770	1.8%
10	2262	2.3%
9	2879	2.9%
8	4271	4.3%
7	5696	5.7%
6	7355	7.4%
5	9749	9.8%

num_lab_procedures
Real number (ℝ)

Distinct	118
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	42.906929

Minimum	1
Maximum	132
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.5 MiB

Quantile statistics

Minimum	1
5-th percentile	4
Q1	31
median	44
Q3	57
95-th percentile	73
Maximum	132
Range	131
Interquartile range (IQR)	26

Descriptive statistics

Standard deviation	19.610032
Coefficient of variation (CV)	0.45703649
Kurtosis	-0.25299214
Mean	42.906929
Median Absolute Deviation (MAD)	13
Skewness	-0.24153505
Sum	4262503
Variance	384.55336
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	3153	3.2%
43	2752	2.8%
44	2447	2.5%
45	2331	2.3%
38	2180	2.2%
40	2163	2.2%
46	2142	2.2%
41	2082	2.1%
42	2066	2.1%
39	2061	2.1%
Other values (108)	75966	76.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	3153	3.2%
2	1089	1.1%
3	662	0.7%
4	377	0.4%
5	285	0.3%
6	278	0.3%
7	321	0.3%
8	361	0.4%
9	923	0.9%
10	828	0.8%

Value	Count	Frequency (%)
132	1	< 0.1%
129	1	< 0.1%
126	1	< 0.1%
121	1	< 0.1%
120	1	< 0.1%
118	1	< 0.1%
114	1	< 0.1%
113	3	< 0.1%
111	2	< 0.1%
109	3	< 0.1%

num_procedures
Real number (ℝ)

ZEROS

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.3342359

Minimum	0
Maximum	6
Zeros	45679
Zeros (%)	46.0%
Negative	0
Negative (%)	0.0%
Memory size	3.5 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	2
95-th percentile	5
Maximum	6
Range	6
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.7027856
Coefficient of variation (CV)	1.2762253
Kurtosis	0.87667601
Mean	1.3342359
Median Absolute Deviation (MAD)	1
Skewness	1.3221628
Sum	132547
Variance	2.8994789
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
0	45679	46.0%
1	20250	20.4%
2	12373	12.5%
3	9203	9.3%
6	4801	4.8%
4	4049	4.1%
5	2988	3.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	45679	46.0%
1	20250	20.4%
2	12373	12.5%
3	9203	9.3%
4	4049	4.1%
5	2988	3.0%
6	4801	4.8%

Value	Count	Frequency (%)
6	4801	4.8%
5	2988	3.0%
4	4049	4.1%
3	9203	9.3%
2	12373	12.5%
1	20250	20.4%
0	45679	46.0%

num_medications
Real number (ℝ)

Distinct	75
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	15.979062

Minimum	1
Maximum	81
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.5 MiB

Quantile statistics

Minimum	1
5-th percentile	6
Q1	10
median	15
Q3	20
95-th percentile	31
Maximum	81
Range	80
Interquartile range (IQR)	10

Descriptive statistics

Standard deviation	8.0949093
Coefficient of variation (CV)	0.50659476
Kurtosis	3.5330492
Mean	15.979062
Median Absolute Deviation (MAD)	5
Skewness	1.3353622
Sum	1587408
Variance	65.527556
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
13	5976	6.0%
12	5888	5.9%
11	5696	5.7%
15	5694	5.7%
14	5592	5.6%
16	5324	5.4%
10	5245	5.3%
9	4830	4.9%
17	4801	4.8%
18	4405	4.4%
Other values (65)	45892	46.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	260	0.3%
2	457	0.5%
3	874	0.9%
4	1383	1.4%
5	1964	2.0%
6	2634	2.7%
7	3421	3.4%
8	4244	4.3%
9	4830	4.9%
10	5245	5.3%

Value	Count	Frequency (%)
81	1	< 0.1%
79	1	< 0.1%
75	2	< 0.1%
74	1	< 0.1%
72	3	< 0.1%
70	2	< 0.1%
69	5	< 0.1%
68	7	< 0.1%
67	7	< 0.1%
66	5	< 0.1%

number_outpatient
Real number (ℝ)

ZEROS

Distinct	39
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.36924595

Minimum	0
Maximum	42
Zeros	82994
Zeros (%)	83.5%
Negative	0
Negative (%)	0.0%
Memory size	3.5 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	2
Maximum	42
Range	42
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	1.2651423
Coefficient of variation (CV)	3.4262862
Kurtosis	149.04706
Mean	0.36924595
Median Absolute Deviation (MAD)	0
Skewness	8.8396687
Sum	36682
Variance	1.6005851
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=39)

Value	Count	Frequency (%)
0	82994	83.5%
1	8349	8.4%
2	3509	3.5%
3	1997	2.0%
4	1077	1.1%
5	514	0.5%
6	294	0.3%
7	154	0.2%
8	96	0.1%
9	82	0.1%
Other values (29)	277	0.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	82994	83.5%
1	8349	8.4%
2	3509	3.5%
3	1997	2.0%
4	1077	1.1%
5	514	0.5%
6	294	0.3%
7	154	0.2%
8	96	0.1%
9	82	0.1%

Value	Count	Frequency (%)
42	1	< 0.1%
40	1	< 0.1%
39	1	< 0.1%
38	1	< 0.1%
37	1	< 0.1%
36	2	< 0.1%
35	2	< 0.1%
34	1	< 0.1%
33	2	< 0.1%
29	2	< 0.1%

number_emergency
Real number (ℝ)

SKEWED ZEROS

Distinct	33
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.19844378

Minimum	0
Maximum	76
Zeros	88249
Zeros (%)	88.8%
Negative	0
Negative (%)	0.0%
Memory size	3.5 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	1
Maximum	76
Range	76
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.93773391
Coefficient of variation (CV)	4.7254388
Kurtosis	1183.2035
Mean	0.19844378
Median Absolute Deviation (MAD)	0
Skewness	22.84878
Sum	19714
Variance	0.87934488
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=33)

Value	Count	Frequency (%)
0	88249	88.8%
1	7474	7.5%
2	1984	2.0%
3	706	0.7%
4	369	0.4%
5	190	0.2%
6	93	0.1%
7	72	0.1%
8	50	0.1%
10	34	< 0.1%
Other values (23)	122	0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	88249	88.8%
1	7474	7.5%
2	1984	2.0%
3	706	0.7%
4	369	0.4%
5	190	0.2%
6	93	0.1%
7	72	0.1%
8	50	0.1%
9	33	< 0.1%

Value	Count	Frequency (%)
76	1	< 0.1%
64	1	< 0.1%
63	1	< 0.1%
54	1	< 0.1%
46	1	< 0.1%
42	1	< 0.1%
37	1	< 0.1%
29	1	< 0.1%
28	1	< 0.1%
25	2	< 0.1%

number_inpatient
Real number (ℝ)

ZEROS

Distinct	21
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.63093524

Minimum	0
Maximum	21
Zeros	66245
Zeros (%)	66.7%
Negative	0
Negative (%)	0.0%
Memory size	3.5 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	1
95-th percentile	3
Maximum	21
Range	21
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.2604283
Coefficient of variation (CV)	1.9977143
Kurtosis	20.913218
Mean	0.63093524
Median Absolute Deviation (MAD)	0
Skewness	3.6334201
Sum	62679
Variance	1.5886796
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=21)

Value	Count	Frequency (%)
0	66245	66.7%
1	18984	19.1%
2	7300	7.3%
3	3271	3.3%
4	1574	1.6%
5	791	0.8%
6	474	0.5%
7	262	0.3%
8	145	0.1%
9	109	0.1%
Other values (11)	188	0.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	66245	66.7%
1	18984	19.1%
2	7300	7.3%
3	3271	3.3%
4	1574	1.6%
5	791	0.8%
6	474	0.5%
7	262	0.3%
8	145	0.1%
9	109	0.1%

Value	Count	Frequency (%)
21	1	< 0.1%
19	2	< 0.1%
18	1	< 0.1%
17	1	< 0.1%
16	6	< 0.1%
15	9	< 0.1%
14	10	< 0.1%
13	18	< 0.1%
12	32	< 0.1%
11	49	< 0.1%

diag_1
Categorical

HIGH CARDINALITY

Distinct	715
Distinct (%)	0.7%
Missing	20
Missing (%)	< 0.1%
Memory size	3.0 MiB

428	6663
414	6550
786	4015
410	3448
486	3383
Other values (710)	75264

Length

Max length	6
Median length	3
Mean length	3.1799482
Min length	1

Characters and Unicode

Total characters	315842
Distinct characters	13
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	84 ?
Unique (%)	0.1%

Sample

1st row	250.83
2nd row	276
3rd row	648
4th row	8
5th row	197

Common Values

Value	Count	Frequency (%)
428	6663	6.7%
414	6550	6.6%
786	4015	4.0%
410	3448	3.5%
486	3383	3.4%
427	2720	2.7%
491	2240	2.3%
715	2147	2.2%
682	2029	2.0%
780	2004	2.0%
Other values (705)	64124	64.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
428	6663	6.7%
414	6550	6.6%
786	4015	4.0%
410	3448	3.5%
486	3383	3.4%
427	2720	2.7%
491	2240	2.3%
715	2147	2.2%
682	2029	2.0%
780	2004	2.0%
Other values (705)	64124	64.6%

Most occurring characters

Value	Count	Frequency (%)
4	54208	17.2%
2	39161	12.4%
8	36879	11.7%
5	36244	11.5%
7	28152	8.9%
1	27218	8.6%
0	24430	7.7%
6	22832	7.2%
9	19605	6.2%
3	17054	5.4%
Other values (3)	10059	3.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	305783	96.8%
Other Punctuation	8426	2.7%
Uppercase Letter	1633	0.5%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
4	54208	17.7%
2	39161	12.8%
8	36879	12.1%
5	36244	11.9%
7	28152	9.2%
1	27218	8.9%
0	24430	8.0%
6	22832	7.5%
9	19605	6.4%
3	17054	5.6%

Uppercase Letter

Value	Count	Frequency (%)
V	1632	99.9%
E	1	0.1%

Other Punctuation

Value	Count	Frequency (%)
.	8426	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	314209	99.5%
Latin	1633	0.5%

Most frequent character per script

Common

Value	Count	Frequency (%)
4	54208	17.3%
2	39161	12.5%
8	36879	11.7%
5	36244	11.5%
7	28152	9.0%
1	27218	8.7%
0	24430	7.8%
6	22832	7.3%
9	19605	6.2%
3	17054	5.4%

Latin

Value	Count	Frequency (%)
V	1632	99.9%
E	1	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	315842	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
4	54208	17.2%
2	39161	12.4%
8	36879	11.7%
5	36244	11.5%
7	28152	8.9%
1	27218	8.6%
0	24430	7.7%
6	22832	7.2%
9	19605	6.2%
3	17054	5.4%
Other values (3)	10059	3.2%

diag_2
Categorical

HIGH CARDINALITY

Distinct	747
Distinct (%)	0.8%
Missing	356
Missing (%)	0.4%
Memory size	3.0 MiB

276	6589
428	6459
250	6051
427	4892
401	3722
Other values (742)	71274

Length

Max length	6
Median length	3
Mean length	3.1768313
Min length	1

Characters and Unicode

Total characters	314465
Distinct characters	13
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	125 ?
Unique (%)	0.1%

Sample

1st row	250.01
2nd row	250
3rd row	250.43
4th row	157
5th row	411

Common Values

Value	Count	Frequency (%)
276	6589	6.6%
428	6459	6.5%
250	6051	6.1%
427	4892	4.9%
401	3722	3.7%
496	3246	3.3%
599	3212	3.2%
403	2743	2.8%
414	2642	2.7%
411	2551	2.6%
Other values (737)	56880	57.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
276	6589	6.7%
428	6459	6.5%
250	6051	6.1%
427	4892	4.9%
401	3722	3.8%
496	3246	3.3%
599	3212	3.2%
403	2743	2.8%
414	2642	2.7%
411	2551	2.6%
Other values (737)	56880	57.5%

Most occurring characters

Value	Count	Frequency (%)
4	49980	15.9%
2	48832	15.5%
5	37253	11.8%
0	33564	10.7%
7	27900	8.9%
8	27699	8.8%
1	25444	8.1%
9	21322	6.8%
6	19505	6.2%
3	13798	4.4%
Other values (3)	9168	2.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	305297	97.1%
Other Punctuation	6654	2.1%
Uppercase Letter	2514	0.8%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
4	49980	16.4%
2	48832	16.0%
5	37253	12.2%
0	33564	11.0%
7	27900	9.1%
8	27699	9.1%
1	25444	8.3%
9	21322	7.0%
6	19505	6.4%
3	13798	4.5%

Uppercase Letter

Value	Count	Frequency (%)
V	1787	71.1%
E	727	28.9%

Other Punctuation

Value	Count	Frequency (%)
.	6654	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	311951	99.2%
Latin	2514	0.8%

Most frequent character per script

Common

Value	Count	Frequency (%)
4	49980	16.0%
2	48832	15.7%
5	37253	11.9%
0	33564	10.8%
7	27900	8.9%
8	27699	8.9%
1	25444	8.2%
9	21322	6.8%
6	19505	6.3%
3	13798	4.4%

Latin

Value	Count	Frequency (%)
V	1787	71.1%
E	727	28.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	314465	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
4	49980	15.9%
2	48832	15.5%
5	37253	11.8%
0	33564	10.7%
7	27900	8.9%
8	27699	8.8%
1	25444	8.1%
9	21322	6.8%
6	19505	6.2%
3	13798	4.4%
Other values (3)	9168	2.9%

diag_3
Categorical

HIGH CARDINALITY MISSING

Distinct	786
Distinct (%)	0.8%
Missing	1419
Missing (%)	1.4%
Memory size	3.0 MiB

250	11466
401	8241
276	4953
428	4412
427	3785
Other values (781)	65067

Length

Max length	6
Median length	3
Mean length	3.1429884
Min length	1

Characters and Unicode

Total characters	307774
Distinct characters	13
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	122 ?
Unique (%)	0.1%

Sample

1st row	255
2nd row	V27
3rd row	403
4th row	250
5th row	250

Common Values

Value	Count	Frequency (%)
250	11466	11.5%
401	8241	8.3%
276	4953	5.0%
428	4412	4.4%
427	3785	3.8%
414	3635	3.7%
496	2504	2.5%
403	2277	2.3%
272	1966	2.0%
585	1930	1.9%
Other values (776)	52755	53.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
250	11466	11.7%
401	8241	8.4%
276	4953	5.1%
428	4412	4.5%
427	3785	3.9%
414	3635	3.7%
496	2504	2.6%
403	2277	2.3%
272	1966	2.0%
585	1930	2.0%
Other values (776)	52755	53.9%

Most occurring characters

Value	Count	Frequency (%)
2	50140	16.3%
4	48102	15.6%
5	40357	13.1%
0	39153	12.7%
7	25724	8.4%
1	24119	7.8%
8	23018	7.5%
9	16711	5.4%
6	15899	5.2%
3	14018	4.6%
Other values (3)	10533	3.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	297241	96.6%
Other Punctuation	5514	1.8%
Uppercase Letter	5019	1.6%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	50140	16.9%
4	48102	16.2%
5	40357	13.6%
0	39153	13.2%
7	25724	8.7%
1	24119	8.1%
8	23018	7.7%
9	16711	5.6%
6	15899	5.3%
3	14018	4.7%

Uppercase Letter

Value	Count	Frequency (%)
V	3782	75.4%
E	1237	24.6%

Other Punctuation

Value	Count	Frequency (%)
.	5514	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	302755	98.4%
Latin	5019	1.6%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	50140	16.6%
4	48102	15.9%
5	40357	13.3%
0	39153	12.9%
7	25724	8.5%
1	24119	8.0%
8	23018	7.6%
9	16711	5.5%
6	15899	5.3%
3	14018	4.6%

Latin

Value	Count	Frequency (%)
V	3782	75.4%
E	1237	24.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	307774	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	50140	16.3%
4	48102	15.6%
5	40357	13.1%
0	39153	12.7%
7	25724	8.4%
1	24119	7.8%
8	23018	7.5%
9	16711	5.4%
6	15899	5.2%
3	14018	4.6%
Other values (3)	10533	3.4%

number_diagnoses
Real number (ℝ)

Distinct	16
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7.4017092

Minimum	1
Maximum	16
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.5 MiB

Quantile statistics

Minimum	1
5-th percentile	4
Q1	6
median	8
Q3	9
95-th percentile	9
Maximum	16
Range	15
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	1.9410127
Coefficient of variation (CV)	0.26223844
Kurtosis	-0.12223322
Mean	7.4017092
Median Absolute Deviation (MAD)	1
Skewness	-0.8614325
Sum	735308
Variance	3.7675302
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=16)

Value	Count	Frequency (%)
9	47810	48.1%
5	11301	11.4%
8	10359	10.4%
7	10215	10.3%
6	9986	10.1%
4	5499	5.5%
3	2824	2.8%
2	1021	1.0%
1	219	0.2%
16	42	< 0.1%
Other values (6)	67	0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	219	0.2%
2	1021	1.0%
3	2824	2.8%
4	5499	5.5%
5	11301	11.4%
6	9986	10.1%
7	10215	10.3%
8	10359	10.4%
9	47810	48.1%
10	16	< 0.1%

Value	Count	Frequency (%)
16	42	< 0.1%
15	10	< 0.1%
14	6	< 0.1%
13	16	< 0.1%
12	8	< 0.1%
11	11	< 0.1%
10	16	< 0.1%
9	47810	48.1%
8	10359	10.4%
7	10215	10.3%

max_glu_serum
Categorical

HIGH CORRELATION MISSING

Distinct	3
Distinct (%)	0.1%
Missing	94191
Missing (%)	94.8%
Memory size	3.5 MiB

Norm	2545
>200	1419
>300	1188

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	20608
Distinct characters	8
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	>300
2nd row	>300
3rd row	Norm
4th row	Norm
5th row	Norm

Common Values

Value	Count	Frequency (%)
Norm	2545	2.6%
>200	1419	1.4%
>300	1188	1.2%
(Missing)	94191	94.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
norm	2545	49.4%
200	1419	27.5%
300	1188	23.1%

Most occurring characters

Value	Count	Frequency (%)
0	5214	25.3%
>	2607	12.7%
N	2545	12.3%
o	2545	12.3%
r	2545	12.3%
m	2545	12.3%
2	1419	6.9%
3	1188	5.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	7821	38.0%
Lowercase Letter	7635	37.0%
Math Symbol	2607	12.7%
Uppercase Letter	2545	12.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	5214	66.7%
2	1419	18.1%
3	1188	15.2%

Lowercase Letter

Value	Count	Frequency (%)
o	2545	33.3%
r	2545	33.3%
m	2545	33.3%

Math Symbol

Value	Count	Frequency (%)
>	2607	100.0%

Uppercase Letter

Value	Count	Frequency (%)
N	2545	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	10428	50.6%
Latin	10180	49.4%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	5214	50.0%
>	2607	25.0%
2	1419	13.6%
3	1188	11.4%

Latin

Value	Count	Frequency (%)
N	2545	25.0%
o	2545	25.0%
r	2545	25.0%
m	2545	25.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	20608	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	5214	25.3%
>	2607	12.7%
N	2545	12.3%
o	2545	12.3%
r	2545	12.3%
m	2545	12.3%
2	1419	6.9%
3	1188	5.8%

A1Cresult
Categorical

HIGH CORRELATION MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	82509
Missing (%)	83.1%
Memory size	3.5 MiB

>8	8137
Norm	4922
>7	3775

Length

Max length	4
Median length	2
Mean length	2.5847689
Min length	2

Characters and Unicode

Total characters	43512
Distinct characters	7
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	>7
2nd row	>7
3rd row	>8
4th row	Norm
5th row	Norm

Common Values

Value	Count	Frequency (%)
>8	8137	8.2%
Norm	4922	5.0%
>7	3775	3.8%
(Missing)	82509	83.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
8	8137	48.3%
norm	4922	29.2%
7	3775	22.4%

Most occurring characters

Value	Count	Frequency (%)
>	11912	27.4%
8	8137	18.7%
N	4922	11.3%
o	4922	11.3%
r	4922	11.3%
m	4922	11.3%
7	3775	8.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	14766	33.9%
Math Symbol	11912	27.4%
Decimal Number	11912	27.4%
Uppercase Letter	4922	11.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	4922	33.3%
r	4922	33.3%
m	4922	33.3%

Decimal Number

Value	Count	Frequency (%)
8	8137	68.3%
7	3775	31.7%

Math Symbol

Value	Count	Frequency (%)
>	11912	100.0%

Uppercase Letter

Value	Count	Frequency (%)
N	4922	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	23824	54.8%
Latin	19688	45.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
N	4922	25.0%
o	4922	25.0%
r	4922	25.0%
m	4922	25.0%

Common

Value	Count	Frequency (%)
>	11912	50.0%
8	8137	34.2%
7	3775	15.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	43512	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
>	11912	27.4%
8	8137	18.7%
N	4922	11.3%
o	4922	11.3%
r	4922	11.3%
m	4922	11.3%
7	3775	8.7%

change
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.9 MiB

No	53221
Ch	46122

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	198686
Distinct characters	4
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	No
2nd row	Ch
3rd row	No
4th row	Ch
5th row	Ch

Common Values

Value	Count	Frequency (%)
No	53221	53.6%
Ch	46122	46.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
no	53221	53.6%
ch	46122	46.4%

Most occurring characters

Value	Count	Frequency (%)
N	53221	26.8%
o	53221	26.8%
C	46122	23.2%
h	46122	23.2%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	99343	50.0%
Lowercase Letter	99343	50.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
N	53221	53.6%
C	46122	46.4%

Lowercase Letter

Value	Count	Frequency (%)
o	53221	53.6%
h	46122	46.4%

Most occurring scripts

Value	Count	Frequency (%)
Latin	198686	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
N	53221	26.8%
o	53221	26.8%
C	46122	23.2%
h	46122	23.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	198686	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
N	53221	26.8%
o	53221	26.8%
C	46122	23.2%
h	46122	23.2%

diabetesMed
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.9 MiB

Yes	76719
No	22624

Length

Max length	3
Median length	3
Mean length	2.7722638
Min length	2

Characters and Unicode

Total characters	275405
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	No
2nd row	Yes
3rd row	Yes
4th row	Yes
5th row	Yes

Common Values

Value	Count	Frequency (%)
Yes	76719	77.2%
No	22624	22.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
yes	76719	77.2%
no	22624	22.8%

Most occurring characters

Value	Count	Frequency (%)
Y	76719	27.9%
e	76719	27.9%
s	76719	27.9%
N	22624	8.2%
o	22624	8.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	176062	63.9%
Uppercase Letter	99343	36.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	76719	43.6%
s	76719	43.6%
o	22624	12.9%

Uppercase Letter

Value	Count	Frequency (%)
Y	76719	77.2%
N	22624	22.8%

Most occurring scripts

Value	Count	Frequency (%)
Latin	275405	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
Y	76719	27.9%
e	76719	27.9%
s	76719	27.9%
N	22624	8.2%
o	22624	8.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	275405	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
Y	76719	27.9%
e	76719	27.9%
s	76719	27.9%
N	22624	8.2%
o	22624	8.2%

readmitted
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.9 MiB

NO	52527
>30	35502
<30	11314

Length

Max length	3
Median length	2
Mean length	2.4712562
Min length	2

Characters and Unicode

Total characters	245502
Distinct characters	6
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	NO
2nd row	>30
3rd row	NO
4th row	NO
5th row	NO

Common Values

Value	Count	Frequency (%)
NO	52527	52.9%
>30	35502	35.7%
<30	11314	11.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
no	52527	52.9%
30	46816	47.1%

Most occurring characters

Value	Count	Frequency (%)
N	52527	21.4%
O	52527	21.4%
3	46816	19.1%
0	46816	19.1%
>	35502	14.5%
<	11314	4.6%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	105054	42.8%
Decimal Number	93632	38.1%
Math Symbol	46816	19.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
N	52527	50.0%
O	52527	50.0%

Decimal Number

Value	Count	Frequency (%)
3	46816	50.0%
0	46816	50.0%

Math Symbol

Value	Count	Frequency (%)
>	35502	75.8%
<	11314	24.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	140448	57.2%
Latin	105054	42.8%

Most frequent character per script

Common

Value	Count	Frequency (%)
3	46816	33.3%
0	46816	33.3%
>	35502	25.3%
<	11314	8.1%

Latin

Value	Count	Frequency (%)
N	52527	50.0%
O	52527	50.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	245502	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
N	52527	21.4%
O	52527	21.4%
3	46816	19.1%
0	46816	19.1%
>	35502	14.5%
<	11314	4.6%

Meglitinides
Categorical

IMBALANCE

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.9 MiB

No	97145
Steady	2013
Adjusted	185

Length

Max length	8
Median length	2
Mean length	2.0922259
Min length	2

Characters and Unicode

Total characters	207848
Distinct characters	12
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	No
2nd row	No
3rd row	No
4th row	No
5th row	No

Common Values

Value	Count	Frequency (%)
No	97145	97.8%
Steady	2013	2.0%
Adjusted	185	0.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
no	97145	97.8%
steady	2013	2.0%
adjusted	185	0.2%

Most occurring characters

Value	Count	Frequency (%)
N	97145	46.7%
o	97145	46.7%
d	2383	1.1%
t	2198	1.1%
e	2198	1.1%
S	2013	1.0%
a	2013	1.0%
y	2013	1.0%
A	185	0.1%
j	185	0.1%
Other values (2)	370	0.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	108505	52.2%
Uppercase Letter	99343	47.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	97145	89.5%
d	2383	2.2%
t	2198	2.0%
e	2198	2.0%
a	2013	1.9%
y	2013	1.9%
j	185	0.2%
u	185	0.2%
s	185	0.2%

Uppercase Letter

Value	Count	Frequency (%)
N	97145	97.8%
S	2013	2.0%
A	185	0.2%

Most occurring scripts

Value	Count	Frequency (%)
Latin	207848	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
N	97145	46.7%
o	97145	46.7%
d	2383	1.1%
t	2198	1.1%
e	2198	1.1%
S	2013	1.0%
a	2013	1.0%
y	2013	1.0%
A	185	0.1%
j	185	0.1%
Other values (2)	370	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	207848	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
N	97145	46.7%
o	97145	46.7%
d	2383	1.1%
t	2198	1.1%
e	2198	1.1%
S	2013	1.0%
a	2013	1.0%
y	2013	1.0%
A	185	0.1%
j	185	0.1%
Other values (2)	370	0.2%

Thiazolidinediones
Categorical

HIGH CORRELATION IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.9 MiB

No	99341
Steady	2

Length

Max length	6
Median length	2
Mean length	2.0000805
Min length	2

Characters and Unicode

Total characters	198694
Distinct characters	8
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	No
2nd row	No
3rd row	No
4th row	No
5th row	No

Common Values

Value	Count	Frequency (%)
No	99341	> 99.9%
Steady	2	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
no	99341	> 99.9%
steady	2	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
N	99341	50.0%
o	99341	50.0%
S	2	< 0.1%
t	2	< 0.1%
e	2	< 0.1%
a	2	< 0.1%
d	2	< 0.1%
y	2	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	99351	50.0%
Uppercase Letter	99343	50.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	99341	> 99.9%
t	2	< 0.1%
e	2	< 0.1%
a	2	< 0.1%
d	2	< 0.1%
y	2	< 0.1%

Uppercase Letter

Value	Count	Frequency (%)
N	99341	> 99.9%
S	2	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	198694	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
N	99341	50.0%
o	99341	50.0%
S	2	< 0.1%
t	2	< 0.1%
e	2	< 0.1%
a	2	< 0.1%
d	2	< 0.1%
y	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	198694	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
N	99341	50.0%
o	99341	50.0%
S	2	< 0.1%
t	2	< 0.1%
e	2	< 0.1%
a	2	< 0.1%
d	2	< 0.1%
y	2	< 0.1%

Sulfonylureas
Categorical

HIGH CORRELATION IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.9 MiB

No	99342
Steady	1

Length

Max length	6
Median length	2
Mean length	2.0000403
Min length	2

Characters and Unicode

Total characters	198690
Distinct characters	8
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	No
2nd row	No
3rd row	No
4th row	No
5th row	No

Common Values

Value	Count	Frequency (%)
No	99342	> 99.9%
Steady	1	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
no	99342	> 99.9%
steady	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
N	99342	50.0%
o	99342	50.0%
S	1	< 0.1%
t	1	< 0.1%
e	1	< 0.1%
a	1	< 0.1%
d	1	< 0.1%
y	1	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	99347	50.0%
Uppercase Letter	99343	50.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	99342	> 99.9%
t	1	< 0.1%
e	1	< 0.1%
a	1	< 0.1%
d	1	< 0.1%
y	1	< 0.1%

Uppercase Letter

Value	Count	Frequency (%)
N	99342	> 99.9%
S	1	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	198690	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
N	99342	50.0%
o	99342	50.0%
S	1	< 0.1%
t	1	< 0.1%
e	1	< 0.1%
a	1	< 0.1%
d	1	< 0.1%
y	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	198690	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
N	99342	50.0%
o	99342	50.0%
S	1	< 0.1%
t	1	< 0.1%
e	1	< 0.1%
a	1	< 0.1%
d	1	< 0.1%
y	1	< 0.1%

AG_Inhibitors
Categorical

IMBALANCE

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.9 MiB

No	98357
Steady	944
Adjusted	42

Length

Max length	8
Median length	2
Mean length	2.0405464
Min length	2

Characters and Unicode

Total characters	202714
Distinct characters	12
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	No
2nd row	No
3rd row	No
4th row	No
5th row	No

Common Values

Value	Count	Frequency (%)
No	98357	99.0%
Steady	944	1.0%
Adjusted	42	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
no	98357	99.0%
steady	944	1.0%
adjusted	42	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
N	98357	48.5%
o	98357	48.5%
d	1028	0.5%
t	986	0.5%
e	986	0.5%
S	944	0.5%
a	944	0.5%
y	944	0.5%
A	42	< 0.1%
j	42	< 0.1%
Other values (2)	84	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	103371	51.0%
Uppercase Letter	99343	49.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	98357	95.1%
d	1028	1.0%
t	986	1.0%
e	986	1.0%
a	944	0.9%
y	944	0.9%
j	42	< 0.1%
u	42	< 0.1%
s	42	< 0.1%

Uppercase Letter

Value	Count	Frequency (%)
N	98357	99.0%
S	944	1.0%
A	42	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	202714	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
N	98357	48.5%
o	98357	48.5%
d	1028	0.5%
t	986	0.5%
e	986	0.5%
S	944	0.5%
a	944	0.5%
y	944	0.5%
A	42	< 0.1%
j	42	< 0.1%
Other values (2)	84	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	202714	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
N	98357	48.5%
o	98357	48.5%
d	1028	0.5%
t	986	0.5%
e	986	0.5%
S	944	0.5%
a	944	0.5%
y	944	0.5%
A	42	< 0.1%
j	42	< 0.1%
Other values (2)	84	< 0.1%

Metformin
Categorical

HIGH CORRELATION IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.9 MiB

No	99341
Steady	2

Length

Max length	6
Median length	2
Mean length	2.0000805
Min length	2

Characters and Unicode

Total characters	198694
Distinct characters	8
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	No
2nd row	No
3rd row	No
4th row	No
5th row	No

Common Values

Value	Count	Frequency (%)
No	99341	> 99.9%
Steady	2	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
no	99341	> 99.9%
steady	2	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
N	99341	50.0%
o	99341	50.0%
S	2	< 0.1%
t	2	< 0.1%
e	2	< 0.1%
a	2	< 0.1%
d	2	< 0.1%
y	2	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	99351	50.0%
Uppercase Letter	99343	50.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	99341	> 99.9%
t	2	< 0.1%
e	2	< 0.1%
a	2	< 0.1%
d	2	< 0.1%
y	2	< 0.1%

Uppercase Letter

Value	Count	Frequency (%)
N	99341	> 99.9%
S	2	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	198694	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
N	99341	50.0%
o	99341	50.0%
S	2	< 0.1%
t	2	< 0.1%
e	2	< 0.1%
a	2	< 0.1%
d	2	< 0.1%
y	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	198694	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
N	99341	50.0%
o	99341	50.0%
S	2	< 0.1%
t	2	< 0.1%
e	2	< 0.1%
a	2	< 0.1%
d	2	< 0.1%
y	2	< 0.1%

Insulin
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.9 MiB

No	46379
Steady	30069
Adjusted	22895

Length

Max length	8
Median length	6
Mean length	4.5934993
Min length	2

Characters and Unicode

Total characters	456332
Distinct characters	12
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	No
2nd row	Adjusted
3rd row	No
4th row	Adjusted
5th row	Steady

Common Values

Value	Count	Frequency (%)
No	46379	46.7%
Steady	30069	30.3%
Adjusted	22895	23.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
no	46379	46.7%
steady	30069	30.3%
adjusted	22895	23.0%

Most occurring characters

Value	Count	Frequency (%)
d	75859	16.6%
t	52964	11.6%
e	52964	11.6%
N	46379	10.2%
o	46379	10.2%
S	30069	6.6%
a	30069	6.6%
y	30069	6.6%
A	22895	5.0%
j	22895	5.0%
Other values (2)	45790	10.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	356989	78.2%
Uppercase Letter	99343	21.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
d	75859	21.2%
t	52964	14.8%
e	52964	14.8%
o	46379	13.0%
a	30069	8.4%
y	30069	8.4%
j	22895	6.4%
u	22895	6.4%
s	22895	6.4%

Uppercase Letter

Value	Count	Frequency (%)
N	46379	46.7%
S	30069	30.3%
A	22895	23.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	456332	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
d	75859	16.6%
t	52964	11.6%
e	52964	11.6%
N	46379	10.2%
o	46379	10.2%
S	30069	6.6%
a	30069	6.6%
y	30069	6.6%
A	22895	5.0%
j	22895	5.0%
Other values (2)	45790	10.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	456332	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
d	75859	16.6%
t	52964	11.6%
e	52964	11.6%
N	46379	10.2%
o	46379	10.2%
S	30069	6.6%
a	30069	6.6%
y	30069	6.6%
A	22895	5.0%
j	22895	5.0%
Other values (2)	45790	10.0%

Admission_Source
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.9 MiB

Emerg_Dept	55850
Referral	30434
Missing	6858
Transfer	6185
Other	16

Length

Max length	10
Median length	10
Mean length	9.0548705
Min length	5

Characters and Unicode

Total characters	899538
Distinct characters	20
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Referral
2nd row	Emerg_Dept
3rd row	Emerg_Dept
4th row	Emerg_Dept
5th row	Emerg_Dept

Common Values

Value	Count	Frequency (%)
Emerg_Dept	55850	56.2%
Referral	30434	30.6%
Missing	6858	6.9%
Transfer	6185	6.2%
Other	16	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
emerg_dept	55850	56.2%
referral	30434	30.6%
missing	6858	6.9%
transfer	6185	6.2%
other	16	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
e	178769	19.9%
r	129104	14.4%
g	62708	7.0%
t	55866	6.2%
E	55850	6.2%
m	55850	6.2%
_	55850	6.2%
D	55850	6.2%
p	55850	6.2%
a	36619	4.1%
Other values (10)	157222	17.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	688495	76.5%
Uppercase Letter	155193	17.3%
Connector Punctuation	55850	6.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	178769	26.0%
r	129104	18.8%
g	62708	9.1%
t	55866	8.1%
m	55850	8.1%
p	55850	8.1%
a	36619	5.3%
f	36619	5.3%
l	30434	4.4%
s	19901	2.9%
Other values (3)	26775	3.9%

Uppercase Letter

Value	Count	Frequency (%)
E	55850	36.0%
D	55850	36.0%
R	30434	19.6%
M	6858	4.4%
T	6185	4.0%
O	16	< 0.1%

Connector Punctuation

Value	Count	Frequency (%)
_	55850	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	843688	93.8%
Common	55850	6.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	178769	21.2%
r	129104	15.3%
g	62708	7.4%
t	55866	6.6%
E	55850	6.6%
m	55850	6.6%
D	55850	6.6%
p	55850	6.6%
a	36619	4.3%
f	36619	4.3%
Other values (9)	120603	14.3%

Common

Value	Count	Frequency (%)
_	55850	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	899538	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	178769	19.9%
r	129104	14.4%
g	62708	7.0%
t	55866	6.2%
E	55850	6.2%
m	55850	6.2%
_	55850	6.2%
D	55850	6.2%
p	55850	6.2%
a	36619	4.1%
Other values (10)	157222	17.5%

Auto

Heatmap
Table

	time_in_hospital	num_lab_procedures	num_procedures	num_medications	number_outpatient	number_emergency	number_inpatient	number_diagnoses	gender	age	admission_type_id	discharge_disposition_id	max_glu_serum	A1Cresult	change	diabetesMed	readmitted	Meglitinides	Thiazolidinediones	Sulfonylureas	AG_Inhibitors	Metformin	Insulin	Admission_Source
time_in_hospital	1.000	0.339	0.187	0.463	-0.014	-0.001	0.093	0.238	0.028	0.043	0.025	0.111	0.137	0.023	0.114	0.068	0.050	0.028	0.000	0.000	0.010	0.000	0.094	0.045
num_lab_procedures	0.339	1.000	0.017	0.248	-0.024	0.008	0.041	0.166	0.017	0.022	0.169	0.044	0.153	0.027	0.072	0.044	0.037	0.024	0.000	0.000	0.009	0.000	0.089	0.218
num_procedures	0.187	0.017	1.000	0.349	-0.024	-0.047	-0.064	0.063	0.046	0.065	0.139	0.054	0.034	0.024	0.027	0.032	0.035	0.000	0.006	0.000	0.000	0.006	0.026	0.127
num_medications	0.463	0.248	0.349	1.000	0.075	0.046	0.101	0.294	0.037	0.061	0.083	0.078	0.133	0.030	0.243	0.193	0.066	0.028	0.039	0.000	0.023	0.039	0.171	0.063
number_outpatient	-0.014	-0.024	-0.024	0.075	1.000	0.179	0.157	0.114	0.000	0.003	0.014	0.017	0.000	0.018	0.016	0.004	0.029	0.000	0.000	0.000	0.000	0.000	0.020	0.013
number_emergency	-0.001	0.008	-0.047	0.046	0.179	1.000	0.223	0.093	0.000	0.027	0.009	0.000	0.015	0.007	0.015	0.007	0.029	0.005	0.000	0.000	0.019	0.000	0.021	0.027
number_inpatient	0.093	0.041	-0.064	0.101	0.157	0.223	1.000	0.136	0.008	0.049	0.020	0.022	0.082	0.023	0.018	0.018	0.134	0.000	0.000	0.000	0.003	0.000	0.054	0.032
number_diagnoses	0.238	0.166	0.063	0.294	0.114	0.093	0.136	1.000	0.000	0.130	0.080	0.076	0.052	0.112	0.058	0.032	0.090	0.032	0.000	0.004	0.010	0.000	0.095	0.122
gender	0.028	0.017	0.046	0.037	0.000	0.000	0.008	0.000	1.000	0.079	0.012	0.066	0.000	0.032	0.015	0.016	0.012	0.001	0.002	0.000	0.000	0.002	0.001	0.015
age	0.043	0.022	0.065	0.061	0.003	0.027	0.049	0.130	0.079	1.000	0.045	0.126	0.141	0.183	0.054	0.041	0.043	0.038	0.000	0.000	0.014	0.000	0.084	0.051
admission_type_id	0.025	0.169	0.139	0.083	0.014	0.009	0.020	0.080	0.012	0.045	1.000	0.076	0.126	0.063	0.029	0.018	0.045	0.041	0.000	0.000	0.013	0.000	0.044	0.504
discharge_disposition_id	0.111	0.044	0.054	0.078	0.017	0.000	0.022	0.076	0.066	0.126	0.076	1.000	0.049	0.084	0.093	0.075	0.091	0.025	0.000	0.000	0.004	0.000	0.102	0.082
max_glu_serum	0.137	0.153	0.034	0.133	0.000	0.015	0.082	0.052	0.000	0.141	0.126	0.049	1.000	0.365	0.249	0.190	0.068	0.025	1.000	1.000	0.019	1.000	0.220	0.151
A1Cresult	0.023	0.027	0.024	0.030	0.018	0.007	0.023	0.112	0.032	0.183	0.063	0.084	0.365	1.000	0.188	0.183	0.019	0.027	0.000	1.000	0.000	0.000	0.153	0.041
change	0.114	0.072	0.027	0.243	0.016	0.015	0.018	0.058	0.015	0.054	0.029	0.093	0.249	0.188	1.000	0.505	0.043	0.095	0.000	0.000	0.071	0.000	0.638	0.042
diabetesMed	0.068	0.044	0.032	0.193	0.004	0.007	0.018	0.032	0.016	0.041	0.018	0.075	0.190	0.183	0.505	1.000	0.058	0.082	0.000	0.000	0.054	0.000	0.580	0.005
readmitted	0.050	0.037	0.035	0.066	0.029	0.029	0.134	0.090	0.012	0.043	0.045	0.091	0.068	0.019	0.043	0.058	1.000	0.014	0.000	0.000	0.009	0.000	0.052	0.075
Meglitinides	0.028	0.024	0.000	0.028	0.000	0.005	0.000	0.032	0.001	0.038	0.041	0.025	0.025	0.027	0.095	0.082	0.014	1.000	0.000	0.000	0.388	0.000	0.017	0.028
Thiazolidinediones	0.000	0.000	0.006	0.039	0.000	0.000	0.000	0.000	0.002	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.750	0.000	0.000
Sulfonylureas	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.004	0.000	0.000	0.000	0.000	1.000	1.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.002	0.000
AG_Inhibitors	0.010	0.009	0.000	0.023	0.000	0.019	0.003	0.010	0.000	0.014	0.013	0.004	0.019	0.000	0.071	0.054	0.009	0.388	0.000	0.000	1.000	0.000	0.005	0.012
Metformin	0.000	0.000	0.006	0.039	0.000	0.000	0.000	0.000	0.002	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.000	0.000	0.750	0.000	0.000	1.000	0.000	0.000
Insulin	0.094	0.089	0.026	0.171	0.020	0.021	0.054	0.095	0.001	0.084	0.044	0.102	0.220	0.153	0.638	0.580	0.052	0.017	0.000	0.002	0.005	0.000	1.000	0.061
Admission_Source	0.045	0.218	0.127	0.063	0.013	0.027	0.032	0.122	0.015	0.051	0.504	0.082	0.151	0.041	0.042	0.005	0.075	0.028	0.000	0.000	0.012	0.000	0.061	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

First rows
Last rows

	gender	age	admission_type_id	discharge_disposition_id	time_in_hospital	num_lab_procedures	num_procedures	num_medications	number_outpatient	number_inpatient	diag_1	diag_2	diag_3	number_diagnoses	max_glu_serum	A1Cresult	change	diabetesMed	readmitted	Meglitinides	Thiazolidinediones	Sulfonylureas	AG_Inhibitors	Metformin	Insulin	Admission_Source
0	Female	[0-10)	Missing	999	1	41	0	1	0	0	250.83	NaN	NaN	1	NaN	NaN	No	No	NO	No	No	No	No	No	No	Referral
1	Female	[10-20)	Emergency	1	3	59	0	18	0	0	276	250.01	255	9	NaN	NaN	Ch	Yes	>30	No	No	No	No	No	Adjusted	Emerg_Dept
2	Female	[20-30)	Emergency	1	2	11	5	13	2	1	648	250	V27	6	NaN	NaN	No	Yes	NO	No	No	No	No	No	No	Emerg_Dept
3	Male	[30-40)	Emergency	1	2	44	1	16	0	0	8	250.43	403	7	NaN	NaN	Ch	Yes	NO	No	No	No	No	No	Adjusted	Emerg_Dept
4	Male	[40-50)	Emergency	1	1	51	0	8	0	0	197	157	250	5	NaN	NaN	Ch	Yes	NO	No	No	No	No	No	Steady	Emerg_Dept
5	Male	[50-60)	Urgent	1	3	31	6	16	0	0	414	411	250	9	NaN	NaN	No	Yes	>30	No	No	No	No	No	Steady	Referral
6	Male	[60-70)	Elective	1	4	70	1	21	0	0	414	411	V45	7	NaN	NaN	Ch	Yes	NO	No	No	No	No	No	Steady	Referral
7	Male	[70-80)	Emergency	1	5	73	0	12	0	0	428	492	250	8	NaN	NaN	No	Yes	>30	No	No	No	No	No	No	Emerg_Dept
8	Female	[80-90)	Urgent	1	13	68	2	28	0	0	398	427	38	8	NaN	NaN	Ch	Yes	NO	No	No	No	No	No	Steady	Transfer
9	Female	[90-100)	Elective	3	12	33	3	18	0	0	434	198	486	8	NaN	NaN	Ch	Yes	NO	No	No	No	No	No	Steady	Transfer

	gender	age	admission_type_id	discharge_disposition_id	time_in_hospital	num_lab_procedures	num_procedures	num_medications	number_outpatient	number_emergency	number_inpatient	diag_1	diag_2	diag_3	number_diagnoses	max_glu_serum	A1Cresult	change	diabetesMed	readmitted	Meglitinides	Thiazolidinediones	Sulfonylureas	AG_Inhibitors	Metformin	Insulin	Admission_Source
101756	Female	[60-70)	Emergency	1	2	46	6	17	1	1	1	996	585	403	9	NaN	NaN	No	Yes	>30	No	No	No	No	No	Steady	Emerg_Dept
101757	Female	[70-80)	Emergency	1	5	21	1	16	0	0	1	491	518	511	9	NaN	NaN	No	Yes	NO	No	No	No	No	No	Steady	Emerg_Dept
101758	Female	[80-90)	Emergency	1	5	76	1	22	0	1	0	292	8	304	9	NaN	NaN	Ch	Yes	NO	No	No	No	No	No	Adjusted	Emerg_Dept
101759	Male	[80-90)	Emergency	1	1	1	0	15	3	0	0	435	784	250	7	NaN	NaN	Ch	Yes	NO	No	No	No	No	No	Adjusted	Emerg_Dept
101760	Female	[60-70)	Emergency	1	6	45	1	25	3	1	2	345	438	412	9	NaN	NaN	Ch	Yes	>30	No	No	No	No	No	Adjusted	Emerg_Dept
101761	Male	[70-80)	Emergency	3	3	51	0	16	0	0	0	250.13	291	458	9	NaN	>8	Ch	Yes	>30	No	No	No	No	No	Adjusted	Emerg_Dept
101762	Female	[80-90)	Emergency	4	5	33	3	18	0	0	1	560	276	787	9	NaN	NaN	No	Yes	NO	No	No	No	No	No	Steady	Transfer
101763	Male	[70-80)	Emergency	1	1	53	0	9	1	0	0	38	590	296	13	NaN	NaN	Ch	Yes	NO	No	No	No	No	No	Adjusted	Emerg_Dept
101764	Female	[80-90)	Urgent	3	10	45	2	21	0	0	1	996	285	998	9	NaN	NaN	Ch	Yes	NO	No	No	No	No	No	Adjusted	Emerg_Dept
101765	Male	[70-80)	Emergency	1	6	13	3	3	0	0	0	530	530	787	9	NaN	NaN	No	No	NO	No	No	No	No	No	No	Emerg_Dept

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Open Punctuation

Dash Punctuation

Close Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Uppercase Letter

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category